Titlebook: Distributed and Parallel Systems; In Focus: Desktop Gr Péter Kacsuk,Róbert Lovas,Zsolt Németh Book 2008 Springer-Verlag US 2008 Bridging.Cl

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A Framework for Fair and Reliable Resource Sharing in Distributed Systemsch other. They thus suffer from freeloaders, that are, participants who consume many more resources than they contribute. For example, a peer/node may be willing to be a resource consumer and not a provider. Moreover a resource provider may not be providing efficient and reliable services to other p

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Brochure

Workflows in a secure environmentst time, and to optimize the time spent on the supercomputers. Researchers in such problems are starting to require workflow automation during their simulations in order to monitor the simulations, and in order to automate many of the complex analysis which must take place from the data that is gene

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A supporting infrastructure for evaluating QoS-specific activities in SOA-based Gridsictability is achieved. QoS issues require close attention, especially those aspects related to the evaluation of specific service activities with the aim of ensuring that the execution of a task produces an outcome according with its expectative behaviour. In this paper we present a supporting infr

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Checkpointing of Parallel Applications in a Grid Environmentbility during the execution of Grid jobs. While checkpointing is the most common method to achieve fault tolerance, there is still a lot of work to be done to improve the efficiency of the mechanism. This paper gives an overview of a checkpoint solution for checkpointing parallel applications execut

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Book 2008ributed and parallel computing. DAPSYS 2008, the 7.th. International Conference on Distributed and Parallel Systems was held in September 2008?in Hungary...Distributed and Parallel Systems: Desktop Grid Computing,. based on DAPSYS 2008, presents original research, novel concepts and methods, and out

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Africa, Central: Independent Statesimentally evaluate the proposed algorithm and observe that it outperforms other known scheduling algorithms. We also propose a version of FETE, called Simple FETE (SFETE), which requires no a-priori knowledge of the tasks workload and in most cases has similar performance to that of FETE.